PinnedPublished inIBM Data Science in PracticeDo Neural Networks Really Need to Be So Big?By Jonathan FrankleFeb 18, 20211Feb 18, 20211
IBM and Wells Fargo Collaborate to Accelerate InnovationThis post originally appeared on the IBM Research blog.Nov 15, 2019Nov 15, 2019
New Research from the MIT-IBM Watson AI Lab Reveals How Work is TransformingRapid advancements in the field of artificial intelligence (AI) are uniquely poised to transform entire occupations and industries…Oct 31, 2019Oct 31, 2019
Estimating Information Flow in Deep Neural NetworksWhile there is a growing body of work studying the theoretical properties of neural networks, our understanding of the macroscopic…Jun 19, 2019Jun 19, 2019
Learning to Teach for Collective IntelligenceMany human activities require collaboration, including soccer, medical treatment and performing arts. The high level goal of our research…Feb 12, 2019Feb 12, 2019
CNN-Cert: A Certified Measure of Robustness for Convolutional Neural NetworksIntroductionJan 28, 2019Jan 28, 2019
Co-regularized Domain AlignmentTeaching AI to generalize from one domain to another would allow it to perform better and learn faster, which would be a huge leap forward…Nov 28, 2018Nov 28, 2018
Can AI Create Molecules?Drug discovery is a long and tedious process; it may take years of development and exploration by expert chemists and pharmacologists. In…Nov 27, 2018Nov 27, 2018
Inaugural AI Research Week Highlights Collaboration and the Future of AI749 attendees, 85 companies, 27 universities, 17 events — all packed into 1 amazing week of celebration, workshops, open collaboration…Nov 16, 2018Nov 16, 2018
Will AI Methods Treat People with Disabilities Fairly?IBM Accessibility Research has recently been exploring the topic of fair treatment for people with disabilities in AI systems. Such systems…Nov 2, 2018Nov 2, 2018
